000 02227nam a22003498i 4500
001 CR9781009272230
003 UkCbUP
005 20240906165357.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 220307s2023||||enk o ||1 0|eng|d
020 _a9781009272230 (ebook)
020 _z9781009272209 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aQA76.9.D343
_bS64 2023
082 0 4 _a006.3/12
_223
100 1 _aSpector, Alfred Z.,
_eauthor.
245 1 0 _aData science in context :
_bfoundations, challenges, opportunities /
_cAlfred Z. Spector [and three others].
264 1 _aCambridge :
_bCambridge University Press,
_c2023.
300 _a1 online resource (xvi, 316 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 29 Sep 2022).
520 _aData science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.
650 0 _aData mining.
650 0 _aBig data.
650 0 _aQuantitative research.
776 0 8 _iPrint version:
_z9781009272209
856 4 0 _uhttps://doi.org/10.1017/9781009272230
942 _2ddc
_cEB
999 _c10114
_d10114